Business
Jobs
  • About Us
  • Solutions
    • Job Postings
      Post your job and receive qualified candidates in 48h.
    • Candidate Assessments
      500+ technical and psychological tests, plus anti-fraud.
    • Headhunting
      Tailor-made executive search from start to finish.
    • Payroll + EOR
      Payroll dispersal and EOR across 15+ LATAM countries.
  • Pricing
  • Jobs

0

208
Views
How to flatten nested Json dynamically on snowflake or javascript?

This is an example of the JSON file I'm working with, it has around 600 rows of the same nested JSON structure.

{
  "at": {
    "Availability": "Yes",
    "Message": "NV",
    "Delivery option": "fast",
  },
  "childNodeIds": [],
  "crawlMessageFlags": null,
  "pd": {
    "product_id": "product_id value",
    "product_name": "product_name value",
    "retailerName": "retailerName value",
    "stock_status": "InStock",
    "subClassName": "n/a"
  },
  "sellers": [],
  "zipDetails": {}
}

I want to generate a report that has the keys inside PD as the column names. Example

--------------------------------------------------------
    product_id  |   product_name     | retailerName
-----------------------------------------------------------
productid value1| product_name value1| retailerName value1
productid value2| product_name value2| retailerName value2
productid value3| product_name value3| retailerName value3
productid value4| product_name value4| retailerName value4

I can generate this table with hardcoded values but I want to do it dynamically as we have several different use cases.

I have tried several solutions from the web but none solves this without hardcoding.

Any solutions?

about 4 years ago · Juan Pablo Isaza
1 answers
Answer question

0

Here's one approach that might work for you. Depending on the structure of the resulting variable (output) you might want to refactor accordingly.

const list = [
  {
  "at": {
    "Availability": "Yes",
    "Message": "NV",
    "Delivery option": "fast",
  },
  "childNodeIds": [],
  "crawlMessageFlags": null,
  "pd": {
    "product_id": "product_id value1",
    "product_name": "product_name value1",
    "retailerName": "retailerName value1",
    "stock_status": "InStock 1",
    "subClassName": "n/a"
  },
  "sellers": [],
  "zipDetails": {}
},
  {
  "at": {
    "Availability": "Yes",
    "Message": "NV",
    "Delivery option": "fast",
  },
  "childNodeIds": [],
  "crawlMessageFlags": null,
  "pd": {
    "product_id": "product_id value2",
    "product_name": "product_name value2",
    "retailerName": "retailerName value2",
    "stock_status": "InStock 2",
    "subClassName": "n/a"
  },
  "sellers": [],
  "zipDetails": {}
}
]

const output = list.reduce((acc,{ pd })=>{
  acc.push([ pd.product_id, pd.product_name, pd.retailerName ])
  return acc;
}, [["product_id", "product_name", "retailerName"]]);


console.log( output );

about 4 years ago · Juan Pablo Isaza Report
Answer question
Find remote jobs

Discover the new way to find a job!

Top jobs
Top job categories
Business
Post vacancy Pricing Sales
Legal
Terms and conditions Privacy policy
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Show me some job opportunities
There's an error!